Class SurvivalLogRankExpertFinder
java.lang.Object
adaa.analytics.rules.logic.induction.AbstractFinder
adaa.analytics.rules.logic.induction.RegressionFinder
adaa.analytics.rules.logic.induction.RegressionExpertFinder
adaa.analytics.rules.logic.induction.SurvivalLogRankExpertFinder
- All Implemented Interfaces:
 IExpertFinder,AutoCloseable
Class for growing and pruning log rank-based survival rules with user's knowledge.
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Field Summary
Fields inherited from class adaa.analytics.rules.logic.induction.RegressionExpertFinder
knowledgeFields inherited from class adaa.analytics.rules.logic.induction.AbstractFinder
attributeValuesOrder, modifier, params, pool, threadCount - 
Constructor Summary
Constructors - 
Method Summary
Modifier and TypeMethodDescriptionprotected booleancheckCandidate(IExampleSet dataset, Rule rule, ConditionBase candidate, Set<Integer> uncovered, Set<Integer> covered, ConditionEvaluation currentBest) voidpostprocess(Rule rule, IExampleSet dataset) Postprocesses a rule.Methods inherited from class adaa.analytics.rules.logic.induction.RegressionExpertFinder
adjust, grow, setKnowledgeMethods inherited from class adaa.analytics.rules.logic.induction.RegressionFinder
checkCandidate, induceCondition, induceCondition_meanMethods inherited from class adaa.analytics.rules.logic.induction.AbstractFinder
addObserver, clearObservers, close, names2attributes, notifyConditionAdded, notifyConditionRemoved, notifyGrowingFinished, notifyGrowingStarted, notifyRuleReady, preprocess, prune 
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Constructor Details
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SurvivalLogRankExpertFinder
 
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Method Details
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postprocess
Postprocesses a rule.- Overrides:
 postprocessin classAbstractFinder- Parameters:
 rule- Rule to be postprocessed.dataset- Training set.
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checkCandidate
protected boolean checkCandidate(IExampleSet dataset, Rule rule, ConditionBase candidate, Set<Integer> uncovered, Set<Integer> covered, ConditionEvaluation currentBest) - Overrides:
 checkCandidatein classRegressionExpertFinder
 
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